xwshan

xwshan's Stars

• M66B/FairEmail

  Fully featured, open source, privacy friendly email app for Android

  Language:Java3.1k640

• canton7/SyncTrayzor

  Windows tray utility / filesystem watcher / launcher for Syncthing

  Language:C#5.9k402

• appdev/siyuan-unlock

  思源笔记免登录版本；可以不登录使用同步功能

  Language:TypeScript27845

• nomi-san/parsec-vdd

  ✨ Perfect 4K@240Hz Virtual Display

  Language:C#2.4k124

• LizardByte/Sunshine

  Self-hosted game stream host for Moonlight.

  Language:C++18.5k900

• miles0428/Hybrid-Quantum-Classical-CNN

  Hackathon NCCU 2023

  Language:Python3

• ikbajpai/Quantum-Convolutional-Neural-Networks

  QCNN, a cutting-edge fusion of quantum computing and deep learning. Explore novel approaches to pattern recognition, leveraging the power of quantum computing's unique properties for enhanced feature extraction and classification tasks.

  Language:Jupyter Notebook51

• huckiyang/QuantumSpeech-QCNN

  IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

  Language:Jupyter Notebook9017

• christorange/QC-CNN

  Quantum-classical hybrid convolutional neural network for classical image classification

  Language:Python8521

• qigitphannover/DeepQuantumNeuralNetworks

  Language:Jupyter Notebook13659

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.5k5.6k

• dongbiao321/MCMBNN-for-CentAMC-and-DecentAMC

  Language:Python111

• BeechburgPieStar/ULCNN

  Language:Python243

• zjwfufu/AWN

  Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".

  Language:Python423

• zjwfufu/AMC-Net

  Official code for "AMC-Net: An Effective Network for Automatic Modulation Classification".

  Language:Python321

• yzy1996/English-Writing

  Enhance Your English Writing for Science Research 写论文英语素材

  1.1k104

• leena201818/radioml

  深度学习在软件无线电领域的应用

  Language:Python5919

• wzjialang/MCLDNN

  [IEEE-WCL] A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition

  Language:Python8210

• wzjialang/Automatic-modulation-recognition-based-on-deep-learning

  The program of RML2016.10a

  Language:Python335

• radioML/examples

  Useful RadioML Examples

  Language:Jupyter Notebook194165

• totruongan/Robust-Automatic-Modulation-Classification-in-Low-Signal-to-Noise-Ratio

  163

• Richardzhangxx/AMR-Benchmark

  A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition

  Language:Python23552

• ZhangYezhuo/MAMCA

  A method for Automatic Modulation Classification using Mamba structure

  Language:Python20

• qieaaa/Deep-Architectures-for-Modulation-Recognition

  deep learning implement for modulation classification ,codes for paper <Deep Architectures for Modulation Recognition>

  Language:Python8034

• Launche/mcft

  Modulation Classification From Transformer

  Language:Python114

• JieFangD/Automatic-Modulation-Classification

  Accumulated Polar Feature-based Deep Learning for Automatic Modulation Classification

  Language:Python6819

• iyytdeed/Automatic-Modulation-Classification

  Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies

  Language:Python18858

• ericardomuten/quantum_image_classifier

  A repository for finishing my undergraduate thesis titled: Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme.

  Language:Jupyter Notebook3212

• ericardomuten/qml-vqa-library

  A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.

  5513

• JQub/QuantumFlow_Tutorial

  A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.

  Language:Jupyter Notebook5614